Xiao-jing Wang

Oct 10, 2024 | nature.com | Laurel Darragh |Michael W. Knitz |Xiao-jing Wang

Correction to: Nature Communications, https://doi.org/10.1038/s41467-022-34676-w, published online 16 November 2022The original version of the manuscript contained an error in Supplementary Fig. 8c. In the original figure, “Tumor only:ENI” was mistakenly indicated as label for the heatmap in Supplementary Fig. 8c. Instead, this should have been labeled as “ENI:Tumor Only”. Supplementary Fig. 8 has been corrected in the updated version of the Supplementary Information file now available.

Jul 31, 2024 | nature.com | Xiao-jing Wang

AbstractBehavioral flexibility relies on the brain’s ability to switch rapidly between multiple tasks, even when the task rule is not explicitly cued but must be inferred through trial and error. The underlying neural circuit mechanism remains poorly understood. We investigated recurrent neural networks (RNNs) trained to perform an analog of the classic Wisconsin Card Sorting Test.

Jul 16, 2024 | nature.com | Xiao-jing Wang

Correction to: Nature Reviews Neuroscience https://doi.org/10.1038/s41583-020-0262-x, published online 6 February 2020. In the version of the article initially published, the y axis of Fig. 1a featured the value 750 but this should have been 7500. This has now been corrected in the HTML and PDF versions of the article. About this articleWang, XJ. Publisher Correction: Macroscopic gradients of synaptic excitation and inhibition in the neocortex. Nat. Rev. Neurosci. (2024).

Jun 10, 2024 | biorxiv.org | Yue Liu |Xiao-jing Wang

AbstractBehavioral flexibility relies on the brain's ability to switch rapidly between multiple tasks, even when the task rule is not explicitly cued but must be inferred through trial and error. The underlying neural circuit mechanism remains poorly understood. We investigated recurrent neural networks (RNNs) trained to perform an analog of the classic Wisconsin Card Sorting Test.

Aug 17, 2023 | biorxiv.org | Yue Liu |Xiao-jing Wang

AbstractBehavioral flexibility relies on the brain's ability to switch rapidly between multiple tasks, even when the task rule is not explicitly cued but must be inferred through trial and error. The underlying neural circuit mechanism remains poorly understood. We investigated recurrent neural networks (RNNs) trained to perform an analog of the classic Wisconsin Card Sorting Test.